On the Validity of the Regression Discontinuity Design for Estimating Electoral Effects: New Evidence from over 40,000 Close Races

By Andrew C. Eggers, Anthony Fowler, Jens Hainmueller, Andrew B. Hall, James M. Snyder. 2014

418 citations recorded by the source corpus.

Subfields: Political Science and International Relations, Sociology and Political Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c33d78ecacd91453ac09f5e778feb35a86c171ef

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Citations in the corpus

Corruption and the Incumbency Disadvantage: Theory and Evidence (2015, background): “Two types of tests are usually performed to examine the validity of the design: to ascertain no incumbency effects on important variables realized before a party obtains incumbency (Caughey and Sekhon 2011; Eggers et al. 2015) and to demonstrate that there are not many disproportionately close wins ”
Geographic Boundaries as Regression Discontinuities (2015, background): “…(2010) count 78 applications of RD designs in economics, and the design is spreading quickly in political science (see, e.g., Broockman 2009; Eggers and Hainmueller 2009; Caughey and Sekhon 2011; Gerber, Kessler, and Meredith 2011; Gerber and Hopkins 2011; Trounstine 2011; Eggers et al. 2014).”
Interpreting Regression Discontinuity Designs with Multiple Cutoffs (2016, methodology): “Figure 3 shows the distribution of the vote share obtained by a reference party’s strongest opponent in six different countries across different time periods and types of elections, using the data compiled by Eggers et al. (2015).”
A Practical Guide to Regression Discontinuity Designs in Political Science (2015, background): “RD designs based on elections have been found to work well in many contexts (Eggers et al. 2015), although Caughey and Sekhon (2011) show that the application to postwar U.”
Politics and Local Economic Growth: Evidence from India (2017, background): “Eggers et al. (2015) finds that Grimmers’ results are an exception and that most US elections in fact support the identifying assumption. Nevertheless, we take extra care to perform a large number of tests to demonstrate that these types of advantages do not drive the outcomes of close elections in ”
Informal Institutions, Collective Action, and Public Investment in Rural China (2015, neutral): “…A follow-up study shows that the problem is not as severe as one might think and RD remains a valid method for causal inference in most situations (Eggers et al. 2015). not only information of the elected VCs, but also information of their runoffs, including the lineage groups the latter belonged…”
Regression Discontinuity Designs Based on Population Thresholds: Pitfalls and Solutions (2015, positive): “See Eggers et al. (2015) for a similar argument about the need for precise information in the case of close elections. rules that determine how to handle ambiguous cases such as students, members of the military, and people without fixed domiciles.”